Leones Negros UDG vs Monterrey: result 1-2 and analysis
Copa MXGroup Stage - 6Kick-off on October 24, 2019 at 12:00 AM (UTC)Estadio Jalisco, Guadalajara
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What was the result of Leones Negros UDG vs Monterrey?
Monterrey won 1-2 on October 24, 2019.
Goalscorers
- 8′V. JanssenMonterrey
- 18′V. JanssenMonterrey
- 80′M. CeballosLeones Negros UDG
What is the recent form of both teams?
Over their last 15 matches in all competitions, Leones Negros UDG have 4 wins, 2 draws and 9 defeats; Monterrey have 7, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 19, 2019 | Mineros de Zacatecas(away) | 1-2 | Liga de Expansión MX |
| Oct 6, 2019 | Potros Uaem(home) | 3-2 | Liga de Expansión MX |
| Sep 28, 2019 | Atlante FC(away) | 1-2 | Liga de Expansión MX |
| Sep 21, 2019 | Tampico Madero(away) | 0-1 | Liga de Expansión MX |
| Sep 15, 2019 | Celaya(home) | 2-0 | Liga de Expansión MX |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 21, 2019 | Guadalajara Chivas(home) | 1-1 | Liga MX |
| Oct 12, 2019 | Tapachula(away) | 2-1 | Copa MX |
| Oct 7, 2019 | Club Queretaro(away) | 1-2 | Liga MX |
| Sep 29, 2019 | Tigres UANL(home) | 0-2 | Liga MX |
| Sep 26, 2019 | Cruz Azul(away) | 1-1 | Liga MX |
What does the head-to-head say?
Across the last 1 meetings: 0 Leones Negros UDG win(s), 0 draw(s), 1 Monterrey win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 1, 2019 | Monterrey 2-1 Leones Negros UDG | Copa MX |
Last archived meeting: Monterrey vs Leones Negros UDG on Aug 1, 2019
How many goals should we expect?
Leones Negros UDG score 1.1 and concede 1.5 goals per match over their last 15; Monterrey score 1.3 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Leones Negros UDG | 1.1 | 1.5 | 2 | 8/15 | 7/15 |
| Monterrey | 1.3 | 1.2 | 3 | 8/15 | 6/15 |
Over the last 15 matches in all competitions.
How does Footlab compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy